Update infra_and_runtime.rst

Author: lu-ohai

docs/source/user_guide/jobs/infra_and_runtime.rst

@@ -120,6 +120,48 @@ see also `ADS Logging <../logging/logging.html>`_.
 
 With logging configured, you can call :py:meth:`~ads.jobs.DataScienceJobRun.watch` method to stream the logs.
 
+Mounting File Systems
+---------------------
+
+Data Science Job supports mounting multiple types of file systems,
+see `Data Science Job Mounting File Systems <place_holder>`_. A maximum number of 5 file systems are
+allowed to be mounted for each Data Science Job. You can specify a list of file systems to be mounted
+by calling :py:meth:`~ads.jobs.DataScienceJob.with_storage_mount()`. For each file system to be mounted,
+you need to pass a dictionary with `src` and `dest` as keys. For example, you can pass
+*<mount_target_ip_address>@<export_path>* as the value for `src` to mount OCI File Storage. The value of
+`dest` must be the folder to which you want to mount the file system. See example below.
+
+.. tabs::
+
+  .. code-tab:: python
+    :caption: Python
+
+    from ads.jobs import DataScienceJob
+
+    infrastructure = (
+        DataScienceJob()
+        .with_log_group_id("<log_group_ocid>")
+        .with_log_id("<log_ocid>")
+        .with_storage_mount(
+          {
+            "src" : "<mount_target_ip_address>@<export_path>",
+            "dest" : "<destination_directory_name>"
+          }
+        )
+    )
+
+  .. code-tab:: yaml
+    :caption: YAML
+
+    kind: infrastructure
+    type: dataScienceJob
+    spec:
+      logGroupId: <log_group_ocid>
+      logId: <log_ocid>
+      storageMount:
+      - src: <mount_target_ip_address>@<export_path>
+        dest: <destination_directory_name>
+
 Runtime
 =======